Comentários e feedback de alunos de Análise de dados com Python da instituição IBM
Sobre o curso
Melhores avaliações
SC
5 de mai de 2020
I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
RP
19 de abr de 2019
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
1801 — 1825 de 2,238 Avaliações para o Análise de dados com Python
por Akshay S
•22 de jun de 2020
Overall coerce is good. Just the algorithm explained at last weeks need to be more simple explanation,
por Rajeev P
•22 de mar de 2020
It was a good course. Learnt a lot of statistics and how to implement them in python from this course.
por Hung C T
•1 de mai de 2019
Would be better if some underlying theory of advanced topics is covered, such as Ridge Regression etc.
por Nicholas F
•24 de nov de 2020
It would be good if there were more practice opportunities. Overall a good class for familiarization.
por SHALIN S
•16 de set de 2020
week5-6 labs were tough for writing own code and for understanding. However for awareness, it was OK.
por Viwan J
•24 de mai de 2019
It is a good course but -1 star because many typos/errors/unclear tasks in the assignment submission.
por Vicente C L F
•18 de nov de 2019
Very good course! I just missed more deep content as optional reading in Ridge, Grids and Pipelines.
por Stéphan D
•6 de mar de 2022
Some technical problems with IBM watson while doing the course. Questions could be more difficult.
por Ivan L
•9 de dez de 2021
Final Assignment is Ok, theory esp. some of the quizes subject for improvement (to make it perfect)
por Juan D M G
•17 de jun de 2020
Muy buen curso y muy buenos laboratorios! SIn embargo a veces no explican la teoría tan al detalle.
por Shrinidhi S
•9 de mai de 2020
My assignments with the correct answers were only given partial marks.Pls do the need for the same.
por Daniel O V
•6 de mai de 2020
I think it should have a higher level of difficulty, not so much more difficult but a little more.
por Fab T
•30 de jan de 2019
Great! Still thinking in go back to review the details that maybe I missed.. But excellent course.
por Abdullah T A
•18 de jan de 2022
The stuff in week 5 confused me a lot. but other than that it was great. especially lab sessions
por Reinhard H J
•18 de out de 2019
I learned some new things, but I think more attention should be given to the theoretical aspects.
por Nur C N
•11 de jul de 2019
Too much information in one course, it's good but need to be put more example to make it clearer.
por Adrian A
•26 de mar de 2022
Good background knowledge.
Assignment did not have a model answer script provided for peer review
por Umesh S
•21 de jul de 2020
may be a course or module on statistics may be more helpful to get better insight of this course
por Fahad R
•28 de jun de 2020
Very comprehensive course but it would be great to add some more material from basic statistics.
por Sajal J
•19 de out de 2019
Good for learning basics of data analysis using simplest explanation methods .HIGHLY RECOMMENDED
por Adam A
•1 de fev de 2022
Peer Review Assignmnet is flawed - not all students assess properly and give incorrect marks.
por Letshabo M
•20 de jul de 2021
This course has given me a good start up to analysing with python. Thank you IBM and Cousera.
por Puneet K U
•12 de abr de 2020
Very well structured course, but it felt a bit easy. You can make it a bit more challenging!
por Manal C
•10 de set de 2019
Very condensed, and requires additional research for those without a programming background
por shaikh s
•10 de set de 2019
i think its a better way to learn python and will be eligible for job in any organization.
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